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[PDF] Top 20 Design of Low Noise Microwave Amplifiers Using Particle Swarm Optimization

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Design of Low Noise Microwave Amplifiers Using Particle Swarm Optimization

Design of Low Noise Microwave Amplifiers Using Particle Swarm Optimization

... the design of low noise microwave amplifiers using particle swarm optimization (PSO) ...technique. Particle Swarm Optimization is ... See full document

8

Design of Microwave Absorbers using Improvised Particle Swarm Optimization Algorithm

Design of Microwave Absorbers using Improvised Particle Swarm Optimization Algorithm

... the design of microwave absorbers. For a given range of frequency and angle of incidence, number of layers and their corresponding thickness are the factors that can be varied in ... See full document

13

Phased Array Synthesis Using Modified Particle Swarm Optimization

Phased Array Synthesis Using Modified Particle Swarm Optimization

... because of their rapid and accurate beam scanning capabilities ...produces low s idelobe levels (SLL) with narrow beamwidth [2], ...excitations of the array elements are selected to synthesize the ... See full document

6

Particle Swarm Optimization Approach For Economic Load  Dispatch: A Review

Particle Swarm Optimization Approach For Economic Load Dispatch: A Review

... Annealing Particle Swarm Optimization ...application of stochastic search methods, thereby dramatically improving search efficiency and solution ...characteristics of power generators ... See full document

10

Deconvolution of Neutron Degraded Images: Comparative Study between TSVD, Tikhonov Regularization and Particle Swarm Optimization Algorithm

Deconvolution of Neutron Degraded Images: Comparative Study between TSVD, Tikhonov Regularization and Particle Swarm Optimization Algorithm

... proposed particle swarm method always converges to acceptable results, from a quality point of view, with the computation time proportional to the matrix (image) ...types of blurring and ... See full document

7

BESO -Battery Energy Storage Optimization

BESO -Battery Energy Storage Optimization

... which of them could be properly selected to enhance the economic benefits as results of establishing synergies between different applications of ...results of the 5%-step of dispersion ... See full document

74

J. Microw. Optoelectron. Electromagn. Appl.  vol.16 número3

J. Microw. Optoelectron. Electromagn. Appl. vol.16 número3

... synthesis of nonuniformly spaced arrays ...performance of raised power series arrays have been described in [7-8] for synthesizing wideband non-uniformly spaced ...theory of unequally spaced arrays ... See full document

13

Pesqui. Oper.  vol.33 número3

Pesqui. Oper. vol.33 número3

... set of P chromosomes (individuals) is randomly (uniformly distributed) defined, where each chromosome, x consists of a vector of variables to be optimized, which, in this case, is formed by FCM ... See full document

23

On the Solutions to the Travelling Salesman Problem using Nature Inspired Computing Techniques

On the Solutions to the Travelling Salesman Problem using Nature Inspired Computing Techniques

... cities of a given map to complete his ...form of a graph having node set N and edge set E where N represents the number of cities and E represent the set of edges or paths between each pair ... See full document

9

J. Microw. Optoelectron. Electromagn. Appl.  vol.12 número2

J. Microw. Optoelectron. Electromagn. Appl. vol.12 número2

... contribution, optimization procedures based on particle swarm intelligence have been investigated in details, aiming to efficiently solve the optimal resource allocation for the signal-to- ... See full document

17

The Fir Digital Filter Design based on Iwpso

The Fir Digital Filter Design based on Iwpso

... the design characteristics of all kinds of filter design ...zone of the window function decreases ...edge of pass-band which may influence the pass-band ...side of the ... See full document

5

An Experience Oriented-Convergence Improved Gravitational Search Algorithm for Minimum Variance Distortionless Response Beamforming Optimum.

An Experience Oriented-Convergence Improved Gravitational Search Algorithm for Minimum Variance Distortionless Response Beamforming Optimum.

... and using of a dynamic gravitational damping coefficient (α), is introduced in this ...stage of the searching process and they can converge rapidly to the optimal solution at the final stage ... See full document

20

Heuristic Task Allocation Strategies for Computational Grid

Heuristic Task Allocation Strategies for Computational Grid

... colony optimization algorithm is a probabilistic technique for solving NP complete ...Applications of ACO for ask allocation in computational Grid have been studied in [3, ...variant of ACO namely ... See full document

7

A Novel Efficient Forecasting of Stock Market Using Particle Swarm Optimization with Center of Mass Based Technique

A Novel Efficient Forecasting of Stock Market Using Particle Swarm Optimization with Center of Mass Based Technique

... ahead using the proposed PSOCOM model when test data are used as ...versions of other techniques during training process and reached the best minimum value of MSE indicating to the convergence ... See full document

6

Analysis of Disease Susceptibility Using Particle Swarm Optimization - Time Varying Acceleration to Generate SNP-barcode

Analysis of Disease Susceptibility Using Particle Swarm Optimization - Time Varying Acceleration to Generate SNP-barcode

... ranks of OR and RR for breast cancer The OR was widely applied in medical reports and offers a very important interpretation in case-control ...number of SNP combinations in high risk ...risk of ... See full document

6

A New Particle Swarm Optimization Based Stock Market Prediction Technique

A New Particle Swarm Optimization Based Stock Market Prediction Technique

... structure of the proposed stock market prediction technique is assumed to be an adaptive linear combiner with parallel inputs as shown in ...number of inputs equal to the number of features in the ... See full document

6

FEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORK

FEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORK

... shortcomings of RVM (Hong and Chen, 2011) are to delight the training points homogeneously during training; however, the consequence of the training points is ... See full document

15

NEW BINARY PARTICLE SWARM OPTIMIZATION WITH IMMUNITY-CLONAL ALGORITHM

NEW BINARY PARTICLE SWARM OPTIMIZATION WITH IMMUNITY-CLONAL ALGORITHM

... type of adaptive immune system which is directed against specific antigen and consists of two major types of lymphocytes; B-cells (white blood cells which are responsible for producing antibodies) ... See full document

9

Association Rule Mining for Both Frequent and Infrequent Items Using Particle Swarm Optimization Algorithm

Association Rule Mining for Both Frequent and Infrequent Items Using Particle Swarm Optimization Algorithm

... path of a particle, particle depends on the movement message of “gbest” and the direction of current “pbest” ...value, particle changes its position randomly and updates its ... See full document

11

Reactive Power Optimization with Chaotic Firefly Algorithm and Particle Swarm Optimization in A Distribution Subsystem Network

Reactive Power Optimization with Chaotic Firefly Algorithm and Particle Swarm Optimization in A Distribution Subsystem Network

... power optimization problem solving with different algorithms for reducing the power loss in a real distribution subsystem network with real data has been presented in this ...values of capacitor banks and ... See full document

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